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Titolo:
EVALUATION OF SIMPLIFIED COMPARTMENTAL-MODELS OF RECONSTRUCTED NEOCORTICAL NEURONS FOR USE IN LARGE-SCALE SIMULATIONS OF BIOLOGICAL NEURAL NETWORKS
Autore:
JACKSON ME; CAULLER LJ;
Indirizzi:
UNIV TEXAS,SCH HUMAN DEV,PROGRAM NEUROSCI & COGNIT,BOX 83068,GR 41 RICHARDSON TX 75083
Titolo Testata:
Brain research bulletin
fascicolo: 1, volume: 44, anno: 1997,
pagine: 7 - 17
SICI:
0361-9230(1997)44:1<7:EOSCOR>2.0.ZU;2-5
Fonte:
ISI
Lingua:
ENG
Soggetto:
RAT VISUAL-CORTEX; CA3 HIPPOCAMPAL-NEURONS; PYRAMIDAL NEURONS; ELECTROPHYSIOLOGICAL PROPERTIES; DENDRITIC MORPHOLOGY; COMPUTER-SIMULATION; APICAL DENDRITES; CELL MORPHOLOGY; CA2+ CHANNELS; LAYER-5;
Keywords:
COMPUTATIONAL MODELS; BIOLOGICAL NEURAL NETWORKS; NEURONAL MORPHOLOGY; SIMPLIFIED MODELS; NEOCORTEX;
Tipo documento:
Article
Natura:
Periodico
Settore Disciplinare:
Science Citation Index Expanded
Citazioni:
42
Recensione:
Indirizzi per estratti:
Citazione:
M.E. Jackson e L.J. Cauller, "EVALUATION OF SIMPLIFIED COMPARTMENTAL-MODELS OF RECONSTRUCTED NEOCORTICAL NEURONS FOR USE IN LARGE-SCALE SIMULATIONS OF BIOLOGICAL NEURAL NETWORKS", Brain research bulletin, 44(1), 1997, pp. 7-17

Abstract

The electrotonic properties of the complex arborizations of neurons can be simulated by creating compartmental models based on the morphology of real neurons, These models can be very detailed with thousands of individual compartments and active channels, Large numbers of these models can be linked together into biologically realistic, large-scaleneural networks with which to obtain a better understanding of the interactions among real neurons, However, the use of detailed compartmental models in such large networks is hindered by long computation times, Methods exist to reduce the complex morphology of detailed compartmental models to simpler reconstructions that retain many of the electrotonic properties of the original model yet are computationally efficient. However, little work exists that evaluates the limitations and performance of such reduced models with realistic active conductances modeled in both the soma and the dendrites to ensure that they are appropriate for use in biologically realistic network models. We have created detailed and reduced models of reconstructed dye-filled neurons from rat somatosensory neocortex and evaluated the ability of the reducedmodels to faithfully reproduce the input-output functions of the moredetailed models, We find that the reduced models are not capable of perfectly reproducing the exact output of the detailed models using identical parameters, However, if the parameters are adjusted the reducedmodels are certainly capable of providing input-output patterns that are well within an acceptable range of known neural activity. The limitations and the benefits of such models are discussed. (C) 1997 Elsevier Science Inc.

ASDD Area Sistemi Dipartimentali e Documentali, Università di Bologna, Catalogo delle riviste ed altri periodici
Documento generato il 11/07/20 alle ore 07:22:44